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scientific articles, presenting research results on conferences, and communicating with collaborators The Institute of Electronic, Microelectronic and Nanotechnology (UMR CNRS 8520 – https://www.iemn.fr/en
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models, whilst respecting the specific spatial structure induced by river networks. - Cleaning, structuring and analysing historical long-term monitoring data (approx. 200 sites). - Adaptation and
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, annotate and analyse metabolomic data using dedicated pipelines (construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices). Contribute
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toxicology. The successful candidate will benefit from access to state-of-the-art facilities for additive manufacturing, cell culture, microscopy and biomaterial characterization, as well as a network of
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); in particular, excellent writing and communication abilities in English are expected Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7288-AMBGUA-024/Default.aspx Work Location(s
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industrial partners. * Excellent written and oral communication skills in English; knowledge of French is an advantage. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8255-PAUPOT-005
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. Opportunities to collaborate with leading experts in molecular computing and DNA-based technologies, in France and Japan. Relevant publications: https://blog.espci.fr/guillaumegines/publications/ The successful
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. • Get familiar with existing libraries for working with tensor networks in the Julia programming language (ITensors.jl, Tensor4all.jl, …). • Implement different tensor network topologies (e.g. tree tensor
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, Architecture, Arts, Astronomy, Biological sciences, Chemistry, Communication Sciences, Computer science, cultural studies, demography, economics, educational sciences, engineering, environmental science, ethics
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to several publications describing the morphological changes in microalgae in different abiotic and biotic conditions (Uwizeye et al. 2021, PNAS, PMID:34215695; Uwizeye et al. 2020, Nat. Commun, PMID:33594064